search for: namec

...don't speak computer and I have no idea what this code is telling the program to do, but I apparently need to be able to find and isolate influencial observations. Problem, I have no idea what the error means and where it may be from in the code. error I get is below the code { ## OLS results NameC<- lm(gpanew~female+female:lastinit+agenew+canadian+mom_ed+yearstudy) ## default: choose psamp = quantile n <- length(residuals(NameC)) k <- length(coef(NameC)) if(is.null(quantile)) quantile <- c(floor((n + k + 1)/2), floor((n + k)/2)) quantile <- rep(quantile, length.out = 2) if(is...

I have some data files in which some fields have multiple values. For example first last sex major John Smith M ANTH Jane Doe F HIST,BIOL What's the best R-like way to handle these data (Jane's major in my example), so that I can do things like summarize the other fields by them (e.g., sex by major)? Right now I'm processing the files (in excel since they're

...evice/nbd/blob/master/doc/uri.md>. This is equivalent to the S<C<h.connect_uri(URI)>> command in the shell. +Note that the connection is created prior to processing any C<-c> +commands, which prevents the use of configuration commands such as +S<C<h.add_meta_context(>NAMEC<)>> from the command line when mixed +with this option. The options C<--opt-mode> and C<--base-allocation> +can be used to make this situation easier to manage. + =item B<-V> =item B<--version> diff --git a/python/nbdsh.py b/python/nbdsh.py index 083dfee..4a1b5f...